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I am using machine vision for industry task with opencv. I have images from a camera monitoring the process. The detailed look at the small part of the image follows: enter image description here

Enlarged: enter image description here

In the detail, it is possible to see pixel chessboard-like pixel structure. I can get rid of it in many ways (any kind of blur or averaging will do the trick). However, I would like to know where this structure origins. My ideas:

  1. camera use colors by default - can the grayscale setting use the RGB sensors in the way that cause this?

  2. could this be produced by compression or storing of the images? I have no information about how it is done - but the images are in PNG format when I get them.

As I said, I can homogenize the image, but I wonder, maybe there is something fundamentally wrong what we do and that should be fixed.

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  • $\begingroup$ Is there somewhere a FFT-based filter involved? If a 2D FFT is done and some fftshift is introduced, but not properly reversed, the resulting images do sometimes have a checkerboard overlay. $\endgroup$
    – M529
    Jul 7, 2019 at 15:38
  • $\begingroup$ @M529 Thanks for suggestion. As far as I know, there is no FFT processing included (I guess it is not commy part of the camera firmware, correct me If I am wrong). $\endgroup$
    – matousc
    Jul 7, 2019 at 19:53

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It looks like that is a color camera with the Bayer pattern, and the color camera data is directly used as grayscale data, as if it was coming from a grayscale camera. If it is a color camera, the color camera data should be de-Bayerized first (and smoothed etc processing) to get color RGB data pixels as usual, and then the RGB data can be converted to grayscale if grayscale is needed.

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If it is a color camera, then typically there is a Bayer filter mosaic in front of the sensor:

enter image description here
Figure 1. Bayer filter (with cutout) in front of a sensor. Image credit: Colin M.L. Burnett.

Perhaps the grayscale mode pixels are simply the sensor element outputs, giving the repeating pattern for a solid color area. You can first debayer the image into a color image, or let the color mode of the camera do that for you, and then convert to greyscale.

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